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Quantum Monte Carlo : origins, development, applications /

Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Anderson, James B., 1935-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford ; New York : Oxford University Press, 2007.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Contents; 1 E. Schrödinger: Über die Umkehrung der Naturgesetze; 2 N. Metropolis & S. Ulam: The Monte Carlo method; 3 M.H. Kalos: Monte Carlo calculations of the ground state of three- and four-body nuclei; 4 H. Conroy: Molecular Schrödinger equation. II. Monte Carlo evaluation of integrals; 5 W.L. McMillan: Ground state of liquid [sup(4)]He; 6 M.H. Kalos: Stochastic wave function for atomic helium; 7 R.C. Grimm & R.G. Storer: Monte-Carlo solution of Schrödinger's equation; 8 M.H. Kalos, D. Levesque, & L. Verlet: Helium at zero temperature with hard-sphere and other forces.
  • 9 K.S. Liu, M.H. Kalos, & G.V. Chester: Quantum hard spheres in a channel10 J.B. Anderson: A random-walk simulation of the Schrödinger equation: H[sup(+)sub(3)]; 11 D.J. Klein & H.M. Pickett: Nodal hypersurfaces and Anderson's random-walk simulation of the Schrödinger equation; 12 J.B. Anderson: Quantum chemistry by random walk. H [sup(2)]P, H[sup(+)sub(3)] D[sub(3h)] [sup(1)]A'[sub(1)], H[sub(2)] [sup(3)]S.